Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "33"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 33 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 37 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 35 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 33, Node N02:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459852 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.108163 43.220761 -0.687409 1.198525 -0.429776 14.079413 0.494040 5.671897 0.8315 0.7208 0.3330 5.019050 2.500611
2459851 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459850 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459849 RF_maintenance 100.00% 0.00% 8.09% 0.00% 100.00% 0.00% -0.026323 19.749016 -0.663294 1.531768 -0.007086 5.494905 4.389879 38.338043 0.7387 0.5744 0.4383 3.556072 1.772807
2459848 RF_maintenance 100.00% 0.00% 9.71% 0.00% 100.00% 0.00% -0.080890 26.656354 0.162202 0.483734 -0.236459 11.857709 2.236272 33.470215 0.7173 0.5816 0.4426 3.593917 1.819218
2459847 RF_maintenance 100.00% 0.00% 12.35% 0.00% 100.00% 0.00% -0.081235 14.070382 0.072034 0.087293 -0.538116 6.469044 2.105206 10.978764 0.7188 0.4965 0.5074 4.569437 2.254876
2459846 RF_maintenance 100.00% 0.00% 42.74% 0.00% 100.00% 0.00% -0.604296 8.220417 0.355489 0.152724 0.575060 1.939649 1.303794 20.864724 0.8404 0.5331 0.5638 3.443825 1.903633
2459845 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.241214 35.501722 1.105762 1.032199 7.618606 23.310903 23.333147 69.368665 0.7448 0.5937 0.4483 7.545280 4.285023
2459844 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - -0.069550 24.783816 -0.981497 32.408073 1681.909845 836.370089 1101.760289 562.691177 0.0430 0.0363 0.0066 nan nan
2459843 RF_maintenance 100.00% 0.66% 0.66% 0.00% 100.00% 0.00% 1.316934 28.722638 1.859513 1.483575 6.332690 19.960179 21.742261 59.911646 0.7417 0.5842 0.4685 3.772808 2.139473
2459839 RF_maintenance 100.00% - - - - - 13.678626 13.249021 83.662344 92.397749 nan nan -29.231224 -30.920487 nan nan nan nan nan
2459838 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.230366 21.992069 1.729238 1.021840 0.236156 12.135532 1.221293 17.878411 0.0657 0.0979 0.0325 1.276291 1.282107
2459836 RF_maintenance - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0780 0.0502 0.0090 nan nan
2459835 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - -0.538552 0.336472 -0.895952 2.157077 0.127977 8.199165 0.174644 8.075354 0.0794 0.0533 0.0112 nan nan
2459833 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - -0.259240 6.160997 0.652759 6.016596 -0.952992 21.918035 1.091957 19.120911 0.0555 0.0421 0.0030 nan nan
2459832 RF_maintenance 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 0.572382 14.612434 1.668769 0.836484 -0.866316 2.077490 0.469892 25.721668 0.7463 0.2800 0.6208 3.506536 1.987249
2459831 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 0.641921 3.733518 -0.290408 4.036640 -0.148712 -0.981293 0.798235 2.931446 0.0477 0.0454 0.0056 nan nan
2459830 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 1.315978 12.200231 2.579915 1.948918 52.528853 50.646198 200.737979 217.748397 0.0518 0.0945 0.0414 1.474992 1.449167
2459829 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.258748 24.049209 2.744191 1.454863 50.543811 44.889318 529.934265 487.644568 0.0678 0.0974 0.0305 -0.000000 -0.000000
2459828 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.197193 9.774033 0.906625 -0.278314 32.250918 29.828482 277.936963 293.875855 0.0543 0.0929 0.0373 14.127906 8.007195
2459827 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.473730 16.434176 -0.247819 0.239853 30.754036 27.562967 113.971115 111.336200 0.0542 0.0964 0.0304 1.336757 1.322387
2459826 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.131589 7.761617 -0.523185 -0.299241 34.092924 35.347631 148.911144 182.185848 0.0532 0.0751 0.0208 1.419335 1.401785
2459825 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.668704 9.090731 -0.400867 -0.552544 -0.750979 2.506798 0.571559 4.549659 0.0620 0.0940 0.0356 1.444847 1.434198
2459824 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.137791 20.973890 -0.592486 0.136329 54.701229 47.003557 194.542899 186.894231 0.0640 0.0991 0.0302 1.632441 1.642507
2459823 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459822 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 46.559323 46.141493 inf inf 3894.459793 3894.106748 5147.013472 5146.487106 nan nan nan 0.000000 0.000000
2459821 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.037376 6.794832 -0.273011 -0.347856 -0.957320 1.109534 -1.412192 1.493045 0.0592 0.0979 0.0338 1.213487 1.213507
2459820 RF_maintenance 100.00% 0.00% 26.32% 0.00% 100.00% 0.00% 0.604021 26.550909 -0.090166 0.201111 64.297868 63.113903 259.725293 250.501822 0.7509 0.4731 0.5368 4.990405 2.235443
2459817 RF_maintenance 100.00% 0.00% 54.30% 0.00% 100.00% 0.00% 0.987737 5.397661 0.947301 -0.182506 3.847800 7.542041 8.944943 15.462332 0.7980 0.4827 0.6134 3.776736 2.124954
2459816 RF_maintenance 100.00% 0.00% 80.19% 0.00% 100.00% 0.00% 0.224575 8.594751 1.111999 -0.530777 33.488412 28.954821 204.015214 197.490950 0.8402 0.4059 0.6842 3.974793 2.069556
2459815 RF_maintenance 100.00% 0.00% 51.61% 0.00% 100.00% 0.00% 0.653517 3.916170 0.900670 -0.583486 16.867358 16.309160 138.636285 147.395397 0.7883 0.4923 0.6178 4.633252 2.180501
2459814 RF_maintenance 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 33: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Shape 43.220761 -0.108163 43.220761 -0.687409 1.198525 -0.429776 14.079413 0.494040 5.671897

Antenna 33: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 33: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 33: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Temporal Discontinuties 38.338043 -0.026323 19.749016 -0.663294 1.531768 -0.007086 5.494905 4.389879 38.338043

Antenna 33: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Temporal Discontinuties 33.470215 26.656354 -0.080890 0.483734 0.162202 11.857709 -0.236459 33.470215 2.236272

Antenna 33: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Shape 14.070382 14.070382 -0.081235 0.087293 0.072034 6.469044 -0.538116 10.978764 2.105206

Antenna 33: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Temporal Discontinuties 20.864724 -0.604296 8.220417 0.355489 0.152724 0.575060 1.939649 1.303794 20.864724

Antenna 33: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Temporal Discontinuties 69.368665 35.501722 0.241214 1.032199 1.105762 23.310903 7.618606 69.368665 23.333147

Antenna 33: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance ee Temporal Variability 1681.909845 -0.069550 24.783816 -0.981497 32.408073 1681.909845 836.370089 1101.760289 562.691177

Antenna 33: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Temporal Discontinuties 59.911646 28.722638 1.316934 1.483575 1.859513 19.960179 6.332690 59.911646 21.742261

Antenna 33: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Power 92.397749 13.249021 13.678626 92.397749 83.662344 nan nan -30.920487 -29.231224

Antenna 33: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Shape 21.992069 21.992069 0.230366 1.021840 1.729238 12.135532 0.236156 17.878411 1.221293

Antenna 33: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Temporal Variability 8.199165 0.336472 -0.538552 2.157077 -0.895952 8.199165 0.127977 8.075354 0.174644

Antenna 33: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Temporal Variability 21.918035 6.160997 -0.259240 6.016596 0.652759 21.918035 -0.952992 19.120911 1.091957

Antenna 33: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Temporal Discontinuties 25.721668 0.572382 14.612434 1.668769 0.836484 -0.866316 2.077490 0.469892 25.721668

Antenna 33: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Power 4.036640 0.641921 3.733518 -0.290408 4.036640 -0.148712 -0.981293 0.798235 2.931446

Antenna 33: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Temporal Discontinuties 217.748397 1.315978 12.200231 2.579915 1.948918 52.528853 50.646198 200.737979 217.748397

Antenna 33: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance ee Temporal Discontinuties 529.934265 24.049209 0.258748 1.454863 2.744191 44.889318 50.543811 487.644568 529.934265

Antenna 33: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Temporal Discontinuties 293.875855 9.774033 0.197193 -0.278314 0.906625 29.828482 32.250918 293.875855 277.936963

Antenna 33: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance ee Temporal Discontinuties 113.971115 0.473730 16.434176 -0.247819 0.239853 30.754036 27.562967 113.971115 111.336200

Antenna 33: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Temporal Discontinuties 182.185848 7.761617 0.131589 -0.299241 -0.523185 35.347631 34.092924 182.185848 148.911144

Antenna 33: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Shape 9.090731 9.090731 0.668704 -0.552544 -0.400867 2.506798 -0.750979 4.549659 0.571559

Antenna 33: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance ee Temporal Discontinuties 194.542899 0.137791 20.973890 -0.592486 0.136329 54.701229 47.003557 194.542899 186.894231

Antenna 33: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 33: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance ee Power inf 46.559323 46.141493 inf inf 3894.459793 3894.106748 5147.013472 5146.487106

Antenna 33: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Shape 6.794832 6.794832 0.037376 -0.347856 -0.273011 1.109534 -0.957320 1.493045 -1.412192

Antenna 33: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance ee Temporal Discontinuties 259.725293 0.604021 26.550909 -0.090166 0.201111 64.297868 63.113903 259.725293 250.501822

Antenna 33: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Temporal Discontinuties 15.462332 0.987737 5.397661 0.947301 -0.182506 3.847800 7.542041 8.944943 15.462332

Antenna 33: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance ee Temporal Discontinuties 204.015214 8.594751 0.224575 -0.530777 1.111999 28.954821 33.488412 197.490950 204.015214

Antenna 33: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Temporal Discontinuties 147.395397 3.916170 0.653517 -0.583486 0.900670 16.309160 16.867358 147.395397 138.636285

Antenna 33: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 33: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
33 N02 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan
In [ ]: